From 76ba217d00d16cc906d46a666b2ff2ed9d145e9d Mon Sep 17 00:00:00 2001 From: michaelchin Date: Sat, 12 Oct 2024 16:01:57 +1100 Subject: [PATCH] Update README.md to add support python versions --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 340ea036..4285cf91 100644 --- a/README.md +++ b/README.md @@ -10,6 +10,7 @@ ![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/gplately?style=for-the-badge) ![GitHub Unitttest Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/GPlates/gplately/build_and_test.yml?branch=master&style=for-the-badge&label=test) ![GitHub Build Doc Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/GPlates/gplately/deploy_documentation.yaml?branch=master&style=for-the-badge&label=doc) +![PyPI - Python Version](https://img.shields.io/pypi/pyversions/gplately?style=for-the-badge) GPlately was created to accelerate spatio-temporal data analysis leveraging [pyGPlates](https://www.gplates.org/docs/pygplates/index.html) and [PlateTectonicTools](https://github.com/EarthByte/PlateTectonicTools) within a simplified Python interface. This object-oriented package enables the reconstruction of data through deep geologic time (points, lines, polygons, and rasters), the interrogation of plate kinematic information (plate velocities, rates of subduction and seafloor spreading), the rapid comparison between multiple plate motion models, and the plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio-temporal analysis over multiple CPU processors.